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Message type: E = Error
Message class: RSDME -
Message number: 345
Message text: No model field found for prediction
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RSDME345
- No model field found for prediction ?The SAP error message RSDME345 "No model field found for prediction" typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with predictive analytics or machine learning models. This error indicates that the system is unable to find the necessary fields in the model that are required for making predictions.
Causes:
- Missing Model Fields: The model you are trying to use for prediction does not have the required fields defined. This could be due to changes in the data structure or the model itself.
- Incorrect Model Configuration: The model may not be properly configured or may not have been trained with the correct dataset that includes the necessary fields.
- Data Source Issues: The data source being used for predictions may not match the expected schema of the model.
- Version Mismatch: There may be a version mismatch between the model and the data being used for predictions.
Solutions:
- Check Model Definition: Verify that the model has been defined correctly and includes all necessary fields. You can do this by reviewing the model configuration in the SAP Predictive Analytics or SAP HANA environment.
- Update Data Source: Ensure that the data source you are using for predictions contains all the required fields that the model expects. If there have been changes to the data structure, you may need to update the model accordingly.
- Re-train the Model: If the model is outdated or not aligned with the current data structure, consider re-training the model with the latest data.
- Review Documentation: Check the SAP documentation for any specific requirements or configurations needed for the model you are using.
- Consult SAP Support: If the issue persists, consider reaching out to SAP support for assistance, especially if this is a production environment.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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